Dae-jin Lee
Assistant Professor at IE School of Science and Technology
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDae-jin Lee is an assistant professor and applied statistics researcher with 10+ years of experience translating complex, multidimensional data into actionable insights using non-parametric smoothing, penalized spline methods and GLMM frameworks. Based in Madrid, he leads research at IE School of Science and Technology after directing the Applied Statistics group and Knowledge Transfer Unit at BCAM, with prior postdoctoral work in risk analytics at CSIRO. His work spans spatial and spatio-temporal modeling, functional data analysis, sensor networks and health-mortality forecasting, combining rigorous statistical theory with computationally efficient implementations. He is noted for bridging advanced smoothing techniques (B-spline penalized likelihoods) with practical visualization and stakeholder communication, enabling real-world adoption of sophisticated models. An economist-trained statistician with dual BSc degrees and a mathematical engineering master’s, he brings both methodological depth and interdisciplinary perspective to data-driven problems.
10 years of coding experience
9 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Github contributions (5)
idaejin/tricks
Feb 2016 - Nov 2021
Contributions:13 pushes, 1 branch in 5 years 10 months
idaejin/bcam-courses
Aug 2015 - Oct 2018
Contributions:1 PR, 224 pushes, 6 branches in 3 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.